Top 7 web scraping tools for 2019

The Internet is constantly flooded with new information, new design patterns, and a lot of c. Organizing this data into a unique library is not an easy task. However, there are a large number of excellent web scraping tools available.

1.ProxyCrawl

Using Proxy Crawl API, you can crawl any website/platform on the Web. It has the advantages of proxy support, bypassing captchas, and crawling JavaScript pages based on dynamic content.

It is free for 1000 requests, which is more than enough to explore the power of Proxy Crawl for complex content pages.

2. Scrapy

Scrapy is an open source project that provides support for crawling the web. The Scrapy crawling framework does an excellent job of extracting data from websites and web pages.

Most importantly, Scrapy can be used to mine data, monitor data patterns, and perform automated testing for large tasks. Powerful features can be integrated with ProxyCrawl***. With Scrapy, selecting content sources (HTML and XML) is a breeze thanks to built-in tools. It is also possible to use the Scrapy API to extend the functionality provided.

3. Grab

Grab is a Python-based framework for creating custom Web Scraping rule sets. With Grab, you can create scraping mechanisms for small personal projects, or build large dynamic scraping tasks that can scale to millions of pages simultaneously.

The built-in API provides methods to perform network requests and also handle scraped content. Another API provided by Grab is called Spider. Using the Spider API, you can create an asynchronous crawler using a custom class.

4. Ferret

Ferret is a fairly new web scraper that has gained quite a bit of traction in the open source community. Ferret aims to provide a cleaner client-side scraping solution. For example, by allowing developers to write scrapers that don't have to rely on application state.

In addition, Ferret uses a custom Declarative language to avoid the complexity of building a system. Instead, strict rules can be written to scrape data from any site.

5.X-Ray

Scraping web pages using Node.js is very simple due to the availability of libraries like X-Ray, Osmosis, etc.

6. Diffbot

Diffbot is a new player in the market. You don’t even have to write much code, as Diffbot’s AI algorithm can decipher structured data from website pages without the need for manual specification.

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7. PhantomJS Cloud

PhantomJS Cloud is a SaaS alternative to the PhantomJS browser. With PhantomJS Cloud, you can fetch data directly from inside web pages, generate visual files, and render pages in PDF documents.

PhantomJS is a browser itself, which means you can load and execute page resources just like a browser. This is especially useful if your task at hand requires crawling many JavaScript-based websites.